Marktine Technology Solutions
Location
Delhi | India
Job description
Position : Data ScientistExperience : 6+ years. Location : Remote. - We need to look at statistical analysis, statistical modelling/programming as key skills with SQL & Python, NLP expertise.Must Have : - Run a DS project for Supply Chain team by themselves, stakeholder engagement and translate business problem, propose solutions. - Will be partnered with DEs and others, working on extensive DS solutioning approaches with good communication skills.- DS (with statistics fundamentally) 60% + Machine Learning 30% [Python, SQL in general]. Good to Have : - Supply Chain domain knowledge 10%. - MLOps (specifically on premise deployment) knowledge.- Good to have Optimization models - experience in optimization. Job Responsibility :- Run a DS project for Supply Chain team by themselves, stakeholder engagement and translate business. problem, propose solutions. - Will be partnered with DEs and others, working on extensive DS solutioning approaches, Supply Chain.domain knowledge is a plus. - DS 60% + ML 30% + Stats + Supply Chain domain knowledge 10%. - Good to have Optimization models - experience in optimization. - Apply domain expertise in technology to develop data-driven solutions that address complex challenges in the industry.- Collaborate with cross-functional teams to identify business problems and opportunities where data science.Can provide valuable insights and solutions.- Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency.in creating efficient and well-documented code.- Showcase a strong portfolio of successfully deployed machine learning projects that highlight expertise in predictive modeling, classification, regression, clustering, and more.- Hands-on experience in deep learning techniques related to computer vision and/or Natural Language. Processing (NLP).- Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models into production.- Systems and maintaining their lifecycle.- Demonstrate an intermediate level of proficiency in on-prem platforms (e.g. AWS, Azure, GCP) to ensure.- Efficient and scalable deployment of machine learning solutions.- Stay up to date with the latest advancements in data science, machine learning, and AI technologies to provide.- Innovative insights and solutions. - Carry out open-ended data mining and analysis for medium to large datasets from disparate sources. - Understanding of data science model deployment techniques in containerized environments like. Kubernetes.Requirements & Qualifications :- Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science, Statistics,.or a related quantitative discipline.- Querying data from structured (SQL) and unstructured data stores; advanced scripting. Techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning.- Hands on experience on Knowledge Graph & Decision engines is a must.- 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.- Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others.commonly used in data analysis and machine learning.- Hands-on experience developing and deploying machine learning models in real-world applications.- Strong understanding of deep learning techniques, especially in the domains of computer vision or NLP is good to have.- Intermediate-level experience with MLOps practices and on prem platforms for model deployment.- Familiarity with PySpark and Databricks is a plus.- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented.environment.- Strong communication skills to effectively convey complex technical concepts to non-technical. stakeholders. (ref:hirist.tech)
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